Data Scientist - AI Marketplace Platform Job at Mirakl (Paris, Bordeaux, or remote from France)

Data Scientist - AI Marketplace Platform

As part of our Data Science team (50+ people), your main mission will be to prot...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
3 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist - AI Marketplace Platform

As part of our Data Science team (50+ people), your main mission will be to prot...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
3 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of your projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
6-8 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Paris or Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
6-8 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Senior Data Scientist

As part of Microsoft AI, we run Microsoft’s unified monetization platform across...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in related field AND 3+ years data-science experience OR Bachelor's Degree in related field AND 5+ years data-science experience OR equivalent experience
5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles
3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry
Demonstrated track record of driving measurable business impact through data science initiatives
Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (Azure preferred) and big data technologies
Solid understanding of statistical modeling, predictive analytics, and experimentation design
Excellent communication and stakeholder management skills
Proficient English communication oral or in written

Job Responsibility

Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection
Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities
Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations
Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements
Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives
Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions
Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Staff Platform Manager, Chargebacks and Disputes

The Community You Will Join: Airbnb's Payments organization is central to the tr...

Location

United States

Salary:

Not provided

Airbnb

Expiration Date

Until further notice

Requirements

10+ years building payments, Payments Risk or risk related products in a product management role within global technology or financial services companies
Prior experience working with Payments Risk including Dispute lifecycle management. (Fintech experience strongly preferred)
A subject matter expert on payments risk with proven track record of launching and scaling detection, fraud prevention and dispute resolution products that balance customer experience
Experience leading complex projects, leveraging ML , operations, and signals from external vendors
Technical chops with experience as an engineer, data scientist, analyst, or operations
Experience integrating Gen AI as solution and delivering business value
Thrives in a startup environment: loves dealing with fast pace, changing needs, and limited resources.

Job Responsibility

Own and evolve the product roadmap for dispute lifecycle management spanning chargeback ingestion, representment decisioning, and pre-arbitration
Partner with Engineering, Data Science, Analytics and operations to sharpen dispute decisioning models, build product improvements and optimizations by processor, reason code, and product vertical, and translate those insights into concrete roadmap bets that improve win rate and reduce losses
Drive the design and rollout of proactive dispute prevention capabilities including on-trip signal detection and early guest outreach working cross-functionally with Customer Support, Trust, and Operations to resolve guest issues before they escalate to a chargeback
Build scalable disputes infrastructure for new payment methods and product verticals and defining evidence frameworks as Airbnb scales
Collaborate with the Enforcements and Transaction Risk team to design and implement first party misuse detection and enforcement programs that deter repeat dispute abuse, balancing recovery goals with guest experience and marketplace integrity.

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Technical Architect - Business Applications

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , Boston

Salary:

250000.00 - 450000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

Master's or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
10+ years of hands-on engineering experience, with a track record of technically leading and delivering large-scale assistant or autonomous systems
Strong foundation in machine learning and statistical modeling, including clustering, classification, regression, decision trees, neural networks, SVMs, and anomaly detection, with deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, bias-variance tradeoffs, and offline vs. online metrics.
Proven experience building and scaling production ML and AI systems, including LLMs, RAG architectures, embeddings, retrieval-based systems, and multi-agent or agent-based system design.
Hands-on experience designing, training, tuning, and deploying models for ranking, prediction, recommendation, forecasting, classification, or NLP use cases.
Experience with cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), and DevOps
Demonstrated technical leadership, including setting direction, influencing across teams, and elevating the work of other engineers.
Experience in advertising, marketplaces, e-commerce, travel, or similar data-rich, decision-driven platforms is a strong plus.

Job Responsibility

Develop and oversee technical strategy for Roku's platform that support diverse business applications.
Drive the AI-native transformation of Roku's advertising business operations, identifying high-leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.
Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing practical, high-impact solutions.
Work closely with advertising business stakeholders to identify needs, surface high-impact opportunities, and translate operational pain points into ML and agentic AI solutions.
Design and ship production ML and agentic systems end-to-end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi-agent or agent-to-agent workflows, embedded directly within product and operational systems where they drive decisions.
Apply GenAI and LLMs to create measurable value, building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on reliability and outcomes over hype.
Translate ambiguous business problems into production solutions, partnering with engineers, data scientists, product managers, and business teams to ground ML and AI work in real operational impact.
Build and operationalize evaluation loops covering precision and recall, calibration, drift detection, and human-in-the-loop systems, and define the dashboards and Service Level Objectives (SLO) that tie model performance to business outcomes.
Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI-native systems.

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Local benefits including healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

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Data Scientist - AI Marketplace Platform

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